Distinguished Software Engineer (Big Data & AI)
Tasks
- Architect and scale DLP data platform
- Build real time data ingestion with Kafka and Pub Sub
- Define data platform technical roadmap
- Deploy and monitor machine learning models with Triton
- Design and implement big data ingestion and processing
- Design scalable data models
- Develop ETL and ELT batch and real time pipelines
- Establish SLOs for mission critical service
- Implement MLOps model training and deployment pipelines
- Implement observability, monitoring, and alerting
- Improve data platform performance bottlenecks
- Mentor staff and principal engineers
- Optimize BigQuery datasets with partitioning and clustering
- Select and implement SQL and NoSQL persistence
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Apache Spark | BigQuery | Cassandra | Cloud platform | Data Streaming | Dataflow | ELT | ETL | GKE | Google Cloud | Google Cloud Platform | Kafka | Kubeflow | MLOps | Machine Learning | MongoDB | Monitoring | NVIDIA Triton | NoSQL | Observability | Pub/Sub | SLOs | SQL | Spanner | Vertex AI
Education
Regions
Countries
States
Cities
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